This edited book discusses the technical considerations, potential opportunities and critical challenges of AI and blockchain in telehealth systems and presents case studies and critical lessons to consider when designing future AI and blockchain-based telehealth systems which have privacy and security in mind.

This edited book explores new and emerging technologies in the field of medical image processing using deep learning models, neural networks and machine learning architectures. Multimodal medical imaging and optimisation techniques are discussed in relation to the advances, challenges and benefits of computer-aided diagnoses.

This edited book discusses the challenges in handling medical data to provide effective healthcare services in real-time and outlines the approaches and the impact of, AI, IOT, cloud, big data, and blockchain technologies for building intelligent Healthcare 4.0 systems.

Medical Imaging Informatics is an edited book that discusses how medical images can be processed using machine learning techniques and big data analysis methods. These tools help physicians to gain a full overview of a patient's data, which in turn assists with diagnosis, prognosis or intervention.

This book introduces the fundamentals of deep learning for biomedical image analysis for applications including ophthalmology, cancer detection and heart disease. The book discusses multimedia data analysis algorithms and the principles of feature selection, optimisation and analysis.

This book covers computer-integrated equipment manufacturing, which allows high levels of adaptability and rapid equipment design changes to enable smart manufacturing processes. Benefits of the integration of lean manufacturing, smart sensors, 5G technology, IoTs, virtual reality, 3D printing, robotics and automation, are discussed.

Health informatics uses information technology to organise and analyse health data to improve healthcare outcomes. This book covers current and future applications of health informatics topics including robotics, sensing, and blockchain and discusses electronic access (and connectivity) to medical records for patients and clinicians.

This book discusses the applications of distributed ledger technology in healthcare environments such as e-healthcare records and data security, health insurance management and fraud detection, pharmaceutical supply chain management and drug traceability, and IoT enabled patient monitoring.